Scardapane, Emanuela (2023) Magnetic and plasmonic nanomaterials for biosensing applications. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Magnetic and plasmonic nanomaterials for biosensing applications
Creators:
Creators
Email
Scardapane, Emanuela
emanuela.scardapane@unina.it
Date: 10 March 2023
Number of Pages: 149
Institution: Università degli Studi di Napoli Federico II
Department: Fisica
Dottorato: Fisica
Ciclo di dottorato: 35
Coordinatore del Corso di dottorato:
nome
email
Canale, Vincenzo
vincenzo.canale@unina.it
Tutor:
nome
email
Iannotti, Vincenzo
UNSPECIFIED
Velotta, Raffaele
UNSPECIFIED
Date: 10 March 2023
Number of Pages: 149
Keywords: biosensing; nanomaterials; magnetoplasmonic; plasmonic; magnetoelastic; magnetic nanoparticles
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/01 - Fisica sperimentale
Area 02 - Scienze fisiche > FIS/07 - Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Date Deposited: 15 Mar 2023 11:14
Last Modified: 10 Apr 2025 12:57
URI: http://www.fedoa.unina.it/id/eprint/15101

Collection description

This thesis explores the great potentiality of applying magnetic and plasmonic nanomaterials in biosensing, adopting for each nanomaterial a different approach. The nanomaterials investigated are (i) core-shell magnetic nanoparticles coated with gold combined with a magnetoelastic biosensor, (ii) a 2D nanostructure of branch pattern of gold nanoparticles applied in a plasmon-enhanced based biosensor and (iii) a 2D multilayered heterostructure of noble and ferromagnetic metals used in magneto-optic surface plasmon resonance biosensor. All of them have been functionalized with antibodies adopting for the first time with these nanomaterials the Photochemical Immobilization Technique (PIT), recently developed in the Biosensing laboratory at the Department of Physics of the University ‘Federico II’. With the combination of these nanomaterials and the PIT, the thesis aims at introducing innovative approaches to improve the performances of the considered biosensing schemes.

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